Technology is entering the workplace at an unprecedented pace, but how it is experienced depends almost entirely on how much money you make. Within a matter of hours, TechCrunch published an article featuring CEOs like Mark Zuckerberg, Sam Altman, and Marissa Mayer talking about how artificial intelligence makes their personal lives easier — from helping with emails to dating — while academic reports and industry surveys simultaneously reveal that on the other side of the office, workers see the same technology as an existential threat.
The technology that Zuckerberg describes as "natural" for finding social contacts and creating content for the Apple TV may be replacing the jobs of those who produce that same content. The Altman who says he "can't imagine parenting without ChatGPT" is selling the same tool that 26% of workers earning under $60,000 expect to automate more than half of their daily tasks within five years.
The luxury of having personal AI assistants
Marissa Mayer, CEO of Dazzle AI, became the latest tech executive to face criticism over remarks many found disconnected from workers' reality. Mayer mentioned having asked an AI tool for help writing a school-assigned description of her daughter. The example sounds trivial, but it reveals something deeper: for top executives, AI is already part of domestic life — and the expectation is that everyone else should feel the same.
Sam Altman goes even further. He says he can't imagine parenting without ChatGPT, suggesting that parents should create personalized podcasts for their children on the drive to school. Zuckerberg proposed that AI should become the intermediary in social and romantic relationships — "what if my AI coordinated with my husband's AI," he wrote.
These suggestions, published by TechCrunch as examples of how AI can make CEOs' lives easier, raised a question that Omnicalculator answered with concrete data: is the industry really building products for ordinary people, or for itself?
The answer is in the numbers. A 2026 survey published by Omnicalculator found that 1 in 3 American workers says their team has shrunk over the past three years while their workload stayed the same or grew. Only 1 in 10 executives admits the same. In the technology industry, the discrepancy is even more striking: 38% of workers report team compression, while 17% of tech sector executives have already carried out active headcount reductions and 11% have imposed hiring freezes.
The AI privilege gap
What makes this divide particularly revealing is not just that executives and workers have different experiences with AI — it's that these experiences follow an almost perfect income gradient. For workers earning between $100,000 and $175,000, AI functions as an administrative partner. 67% describe their AI exposure as "augmentation": the technology makes them faster and better at work, but they're still directing. 60% feel empowered when using AI. 0% report any resentment.
For workers earning under $60,000, the same technology is read as a threat. Only 47% feel empowered, a 13-point difference from higher earners. 9% report active resentment, describing AI as something that undermines their expertise or autonomy. 26% expect AI to automate more than half of their daily tasks within five years.
The behavioral difference is even more dramatic: workers earning under $60,000 are nearly 3 times as likely to be actively planning a career change because of AI — 11% versus 4% of higher earners.
This pattern aligns with more rigorous academic research. A 2026 study published as a working paper by the NBER (National Bureau of Economic Research) surveyed nearly 750 financial executives at American companies and found that, despite reported productivity gains, "there is little evidence of near-term aggregate employment declines due to AI." However, larger companies "anticipate AI-driven workforce reductions," while smaller firms "expect modest productivity gains without significant reductions."
An academic article in ScienceDirect, "The Heterogeneous Effects of Artificial Intelligence on Labor Markets," goes further, presenting a calibrated simulation showing that "AI's advance consistently widens the wage gap between high- and low-skill workers." The model shows that traditional mitigation policies — such as training subsidies — are "four times less effective" than an "AI tax" to manage the pace of adoption.
The productivity illusion
A particularly revealing point from the Omnicalculator survey is the discrepancy in productivity perception. 53% of C-suite executives say AI "has not affected" their organizations' hiring decisions. But among technology executives, that figure drops to 30% — the lowest of any sector. Tech leaders are the least likely to claim immunity from AI's workforce effects, while simultaneously leading all sectors in active headcount reductions.
What happens is that executives evaluate productivity from the top down, while workers feel it from the bottom up. When a team is reduced and the workload remains, the executive sees "efficiency" and "focus on what matters." The worker sees the same reality as "ghost downsizing" — their department shrank, but responsibilities were not redistributed, just accumulated.
The data shows that 56% of technology executives are already operating or planning to operate with AI-driven workforce changes. When you add current reductions, existing freezes, and anticipated adjustments, the majority of the sector is working in forced transition mode — and workers are feeling the impact firsthand.
The final paradox is that, while CEOs talk about AI as if it were a luxury accessible to all, the data shows that the experience is fundamentally divided along income lines. The same technology that allows Zuckerberg to manage social networks through AI agents is the same one that makes the junior developer wonder if they'll have a career next year.
Sources: TechCrunch, Omnicalculator, ScienceDirect
✓ Independent sources cross-checked and verified before publishing
